@inproceedings{53d4a4759b704ebb9d9b8bce0e06ae00,
title = "Optimizing Throughput for NR V2X Message Delivery with Congestion Control",
abstract = "In New Radio (NR) Vehicle-to-Everything (V2X), the congestion control is adopted to reduce channel occupancy and improve delivery performance. However, most available congestion control schemes choose to reduce the number of messages while ignoring the throughput requirements, which may lead to serious traffic accidents due to the loss of information. This paper investigates the delivery performance of Cooperative Awareness Messages (CAMs) in NR V2X and proposes an Optimizing Throughput Congestion Control (OTCC) scheme to ensure that more information is successfully exchanged between vehicles. The OTCC is able to analytically provide the optimal CAM generation frequency and maximize the effective throughput of CAM delivery with the help of a carefully derived stochastic geometry based theoretical framework. Extensive numerical results show that the OTCC scheme is highly beneficial for effective information exchange, especially in complex traffic environments with highly dense vehicles.",
keywords = "NR V2X, congestion control, cooperative awareness messages",
author = "Qiang Fu and Jiajia Liu and Jiadai Wang and Jun Kong",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE Global Communications Conference, GLOBECOM 2024 ; Conference date: 08-12-2024 Through 12-12-2024",
year = "2024",
doi = "10.1109/GLOBECOM52923.2024.10901153",
language = "英语",
series = "Proceedings - IEEE Global Communications Conference, GLOBECOM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3805--3810",
booktitle = "GLOBECOM 2024 - 2024 IEEE Global Communications Conference",
}